Code accompanying our paper at AISTATS 2020
☆21Jan 12, 2021Updated 5 years ago
Alternatives and similar repositories for context-mover-distance-and-barycenters
Users that are interested in context-mover-distance-and-barycenters are comparing it to the libraries listed below
Sorting:
- A thorough review of the paper "Learning Embeddings into Entropic Wasserstein Spaces" by Frogner et al. Includes a reproduction of the re…☆22Jan 31, 2020Updated 6 years ago
- ☆10May 11, 2017Updated 8 years ago
- code for paper "Improving Sequence-to-Sequence Learning via Optimal Transport"☆68Jun 24, 2019Updated 6 years ago
- ☆11Oct 9, 2021Updated 4 years ago
- Python code for implementing embeddings in the Wasserstein space of elliptical distributions☆11Jul 22, 2020Updated 5 years ago
- Code base for NeurIPS 2022 paper Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation.☆11Aug 21, 2023Updated 2 years ago
- Experimental codes for the paper 'How to Learn Item Representation for Cold-Start Multimedia Recommendation?'☆18Jan 12, 2024Updated 2 years ago
- Graph transport network (GTN), as proposed in "Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, an…☆15Apr 26, 2023Updated 2 years ago
- Supervised Training of Conditional Monge Maps☆19Oct 30, 2023Updated 2 years ago
- Projecting Embeddings for Domain Adaptation: Joint Modeling of Sentiment in Diverse Domains☆16Jun 23, 2018Updated 7 years ago
- The dataset for paper "Why Do We Click: Visual Impression-aware News Recommendation", ACM MM 2021☆15Feb 24, 2022Updated 4 years ago
- "Answering queries over Knowledge Graphs with Graph Convolutional Networks" @ ICLR 2020 Workshop on Graph Representation Learning☆15Jul 13, 2020Updated 5 years ago
- Neural Topic Model via Optimal Transport, ICLR 2021☆16Mar 31, 2021Updated 4 years ago
- ☆21Nov 9, 2021Updated 4 years ago
- [ACL 2023]: Training Trajectories of Language Models Across Scales https://arxiv.org/pdf/2212.09803.pdf☆25Nov 14, 2023Updated 2 years ago
- Code for gradient rollback, which explains predictions of neural matrix factorization models, as for example used for knowledge base comp…☆21Mar 16, 2021Updated 4 years ago
- Geometry-aware Multilingual Embeddings☆26Dec 8, 2022Updated 3 years ago
- ☆21Mar 3, 2023Updated 3 years ago
- TopicModel4J: A Java Package for Topic Models (Contain LDA, Collapsed Variational Bayesian Inference for LDA, author-topic model, BTM, di…